similar to: a questtion about Cronbach's alpha more than 1

A short function I wrote for the purpose of evaluating scales made up of a number of questionnaire items. It provides Cronbach's Alpha, both unstandardized and based on standardized items. It also provides item statistics which include item-total correlations (corrected) and item-removed alpha. Thought some of you might find it useful. I would also appreciate any programming tips or

Hi list members Any easy way to get standardized cronbach's alpha for a scale, as in SPSS? Thanks Steve Powell proMENTE social research research | evaluation | training & consulting Kranj?evi?eva 35, 71000 Sarajevo mobile: +387 61 215 997 | office: +387 33 556 865 | fax: +387 33 556 866 Checked by AVG Free Edition. 17:44

hie 1...i'm trying to carryout a relibility testusing cronbach's alpha what fuctin do i use. 2.. this is more of a statistical question.if the alpha value for all the variables is negative what does it mean. and if the alpha value is negative for all tyha variables but is greater than 0.7 for some sections of the variables what does that mean thanks in advance

Dear Listers: I used cronbach{psy} to evaluate the internal consistency and some set of variables gave me alpha=-1.1003, while other, alpha=-0.2; alpha=0.89; and so on. I am interested in knowing how to interpret 1. negative value 2. negative value less than -1. I also want to re-mention my previous question about how to evaluate the consistency of a set of variables and about the total

Hi All, I am from the packaging team in RBS. We use R DCOMServer Manager 2.0, this application uses RGUI 2.3.0 as one of its components. We are planning to upgrade to the latest version of RGUI 2.8.0 but found that R DCOMServer manager is not compatible with the latest version. Can you direct me from where can I download the compatible version of DCON server Manager? Thanks, Smita Kumar RBS

Hi all, I am trying to teach myself to use and program R (How else do you do it? lol) Anyway, I wrote a piece of code to compute coefficent alpha for a scale. As I am neither a statistician nor a programmer, I wanted people's feedback. The code appears to work (Win 95 with R 1.0.1) and I have verified my result with SPSS and it was correct (much to my astonishment!). Nonetheless, I am

I am taking a behavioral stats graduate class and the instructor is using SPSS. I'm trying to follow along in R. Recently in class we started working with scales and survey data, computing Cronbach's Alpha, reversing values for reverse coded items, etc. Also, SPSS has some built in functionality for entering the meta-data for your survey, e.g. the possible values for items, the text of

Dear all, i need help about comparing 2 alpha cronbach. How to derive W statistic. Are alpha cronbach and Hoyt's method using ANOVA identical? Thank you for your help. Regards --------------------------------- Luggage? GPS? Comic books? [[alternative HTML version deleted]]

Dear Kevin, In addition to the advice you've received, take a look at the survey package. It's not quite what you're asking for, but in fact it's probably more useful, in that it provides correct statistical inference for data collected in complex surveys. The package is described in an article, T. Lumley (2004), Analysis of complex survey samples, Journal of Statistical Software

Hi, What package would you recommend for analyzing the validity/reliability of multiple choice tests. Doing things such as classical test analysis, factor analysis, item response theory. I've used psychometric (item.exam), MiscPsycho (alpha.Summary), and ltm (rcor.test). MiscPsycho reported the numbers most similar to what I get in SPSS: corrected point biserial correlations,

Erin Hodgess wrote: > Date: Mon, 05 Jun 2006 08:05:04 +0200 > From: Tom Backer Johnsen <backer at psych.uib.no> > User-Agent: Thunderbird 1.5.0.4 (Windows/20060516) > MIME-Version: 1.0 > To: r-help at stat.math.ethz.ch > References: <4481F48B.6090308 at imst.math.uni-magdeburg.de> > In-Reply-To: <4481F48B.6090308 at imst.math.uni-magdeburg.de> >

¿existe algún método en el cual no sea necesario hacer este trabajo y que aparezcan los nombres de las preguntas? label.cronbach <- label.var(p01, "¿Le agrada el programa que se le ha mostrado? ") label.cronbach <- label.var(p02, "¿Cree que ayuda en el aprendizaje?") label.cronbach <- label.var(p03, "¿Propicia el trabajo en el equipo?") label.cronbach

rm(list = ls()) #borra todo lo anterior en memoria setwd("G:/Public/Documents/R/EPICALC/") #como se llama la data desde su path sanda<-read.csv("sandavid2.csv",header=TRUE, sep=",", dec=".") use(sanda) attach (sanda) library (MASS) label.cronbach <- label.var(p01, "¿Consume mucho pan? ") ####¿Hay alguna manera de nombrarlos

Dear list: I have a data frame with student name, class he attended and marks for subjects he attended. Students took second exam if they performed badly in their first attempt. I want to consider the test scores where they obtain highest median. there are 6 classes. As a sample case, I will consider only classes A, B and C. For class A, Student Raj took first exam and he did not score well.

Hello, I'm writng this message to see if anyone knows how to analyze a data with geometrically distributed outcome. My situation now is : I have a outcome which is geometrically distributed. And I've also self-derived the link function for geometric distribution. I want to use generalized linear models to analyze it, but there're only models for binary data, poisson distributed

jim holtman (jholtman at gmail.com) wrote: >It sounds like you want to use 'local' to create private variables: Hello, I hope I do not disturb your discussion very much writing in this thread but the topic sounded extremely familiar for me :) My only question is: Is there a good book or more general - any resources that can be used as a reader-friendly introduction to programming

I'm new in both R and statistics. I "did my homework", I tried the archives and whatever I managed to get from the sources, but still I need assistance with the plsr package. I have a model with 2 core determinants D1 and D2, made by 3 indicators each (D1a,D1b,D1c and so on). Also I have 2 moderating variables (m1,m2), where m1 moderates D1 and m2 modarates D2. The dependent

Hello, I have a problem with the sizes of points on the screen (Code tested for some R versions on a Solaris system and also for Linux). Maybe it is best to start with an example: If I do a very simple plot using the character '.' for the points, e.g., n<-100; plot(0:n,0:n,pch='.',cex=1+(0:n)/20) then not all for all the points the horizontal and vertical dimensions are the

Dear all, I like the way the Rcmdr package computes reliability. E.g reliability(cov(d[,c("q1", "q2", "q3", "q4", "q5", "q6")], use="complete.obs")) will not only give me the alpha score, but also for each variable, alpha.score if deleted. However - when writing scripts it's very tiresome to load the whole Rcmdr GUI just

Hi, R people, I wonder if there is a statistics than can measure the correlation for more than two random variables, instead of computing the correlation coefficient matrix. If so, what R package should I use? Right now I can only think of the mean of all pair-wise correlation coefficients, e.g., (corr(x,y) + corr(x,z) + corr(y,z)) / 3 for three random variables (x, y, z). Thanks a